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LQOR: Link Quality-Oriented Route Selection on Internet of Things Networks for Green Computing

Farhan, Laith and Kharel, Rupak and Kaiwartya, Omprakash and Quiroz, Marcela and Raza, Umar and Teay, Siew Hon (2018) LQOR: Link Quality-Oriented Route Selection on Internet of Things Networks for Green Computing. In: 11th International Symposium on Communication Systems, Networks, and Digital Signal Processing (CSNDSP 2018), 18 July 2018 - 20 July 2018, Budapest, Hungary. (In Press)

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Official URL: http://csndsp2018.com/


Recently, Internet of Things (IoT) have witnessed significant attention due to their potential of bringing massive number of interconnected heterogeneous sensor nodes to collect big data for harnessing knowledge thus enabling real time monitoring and control. These wireless sensors relay their packets on to the base station via multi-hop transmissions and is therefore dependent on the intermediate nodes. However, unbalanced data forward among intermediate nodes results in high-energy consumption and packet drops. Since, the network lifetime and link reliability are the most import factors for multi-hop environment this paper proposes a link quality-oriented route (LQOR) protocol for scalable IoT networks. The main goal of this scheme is to balance the load for any sensor by selecting the next hop such that it has less number of neighboring nodes. Specifically, an architecture for a typical IoT network is presented that uses LQOR and various metrics for the network, such as network lifetime, energy consumption, etc. are analyzed. The comparative performance evaluation corroborates the positive impact of the proposed algorithm on the entire path as compared to other techniques in the literature. We show that the proposed algorithm achieves less packets loss and minimizes the number of data re-transmissions. Thus, improving the overall system performance and elongating the network lifetime.

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